Principal Decision Intelligence Engineer
Core
Technical lead for the NBA platform's decision intelligence capabilities, owning the end-to-end pipeline from member feature signals through optimization and decisioning logic to production deployment.
Role type
Principal Decision Intelligence Engineer (Full Stack)
Builds
End-to-end decision systems determining member actions, channels, and timing; member feature layers on Databricks; planning sequences of actions across member journeys.
Domain
Healthcare insurance / Decision Intelligence / Optimization
Deliverable
production ML models | product features | infrastructure
Required skills
Optimization and sequential decision-making, reward structure design, Python, cloud data platforms (Databricks/Snowflake), experimental design, architectural decision-making, AI coding tools
Preferred skills
Linear/integer programming, personalization/recommendation systems, Kafka event pipelines, causal inference, healthcare/insurance domain knowledge
Technologies
Python, PyTorch, MLflow, PySpark, Databricks, Snowflake, Kafka, Claude, GitHub Copilot
Responsibilities
Design decision intelligence architecture translating business objectives into optimization formulations; build member feature layers on Databricks Lakehouse; lead planning and optimization of action sequences; own deployment of decision outputs into live systems; design holdout frameworks and online evaluation strategies; lead technical teams and mentor engineers.
Seniority
Principal, hands-on IC with team leadership